Time : Mon Wed 9:30 - 11am
Location:
Supplemental Files:
| Date | Topic | Instructor |
|---|---|---|
| Mon Jan 10 | Lecture 1: Course intro; Molecular biology primer | Keegan |
| Wed Jan 12 | Lecture 2: High-dimensional genomics assays & data | Keegan |
| Mon Jan 17 | Lecture 3: Exploratory data analysis & experimental design | Keegan |
| Wed Jan 19 | Lecture 4: Statistics & probability primer | Keegan |
| Mon Jan 24 | Lecture 5: Statistical inference: two groups | Keegan |
| Wed Jan 26 | Lecture 6: Statistical inference: linear regression & ANOVA | Keegan |
| Mon Jan 31 | Lecture 7: Statistical inference: multiple linear regression | Keegan |
| Wed Feb 2 | Lecture 8: Statistical inference: continuous model & limma | Keegan |
| Mon Feb 7 | Lecture 9: Statistical inference: multiple testing | Keegan |
| Wed Feb 9 | Lecture 10: Application of statistical inference to RNA-seq I | Keegan |
| Mon Feb 14 | Lecture 11: Application of statistical inference to RNA-seq II | Keegan |
| Wed Feb 16 | Lecture 12: Biological network and Enrichment analysis | Yongjin |
| Mon Feb 21 | Family day (no class) | |
| Wed Feb 23 | Reading break (no class) | |
| Mon Feb 28 | Lecture 13: Unsupervised learning: clustering and dimensionality reduction | Yongjin |
| Wed Mar 2 | Lecture 14: Supervised learning I: regression and classification | Yongjin |
| Mon Mar 7 | Lecture 15: Supervised learning II: model selection | Yongjin |
| Wed Mar 9 | Lecture 16: Statistical methods for epigenetics | Keegan |
| Mon Mar 14 | Lecture 17: Causal inference and confounding effects | Yongjin |
| Wed Mar 16 | Lecture 18: Genetics and Genome-Wide Association Studies | Yongjin |
| Mon Mar 21 | Lecture 19: Cancer genomics and clonal evolution | Guest: Andrew Roth |
| Wed Mar 23 | Lecture 20: Advanced Statistical Genetics Methods | Yongjin |
| Mon Mar 28 | Lecture 21: Single cell Genomics | Yongjin |
| Wed Mar 30 | Final Project Presentations | |
| Mon Apr 4 | Final Project Presentations | |
| Wed Apr 6 | Final Project Presentations |